efficient fine-tuning

RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts ICML 2025 Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models ICML 2025 Efficient Tuning and Inference for Large Language Models on Textual Graphs IJCAI 2024 Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Interspeech 2024 LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024 Pre-Training and Fine-Tuning Generative Flow Networks ICLR 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Transferable and Principled Efficiency for Open-Vocabulary Segmentation CVPR 2024 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ACL 2022 Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022 ACL 2022 Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection ACL 2022 SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters EMNLP 2022 Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ACL 2021